ML Anthology

Shelmanov, Artem

4 publications

ICLR 2026 Don't Throw Away Your Beams: Improving Consistency-Based Uncertainties in LLMs via Beam Search Ekaterina Fadeeva, Maiya Goloburda, Aleksandr Rubashevskii, Roman Vashurin, Artem Shelmanov, Preslav Nakov, Mrinmaya Sachan, Maxim Panov
NeurIPS 2025 CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs Roman Vashurin, Maiya Goloburda, Albina Ilina, Aleksandr Rubashevskii, Preslav Nakov, Artem Shelmanov, Maxim Panov
ICLRW 2025 Sample-Focused Approach for Robust Uncertainty Quantification in LLMs Roman Vashurin, Maiya Goloburda, Preslav Nakov, Artem Shelmanov, Maxim Panov
NeurIPS 2022 Nonparametric Uncertainty Quantification for Single Deterministic Neural Network Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov